ACM SIGCOMM Computer Communication Review · 1997 · 1.5K citations · 16 references
ComputingComputer EngineeringComputer ScienceComputer NetworksQueuing TheoryReal-time SystemsCongestion ControlCongestion ManagementNetwork Performance AnalysisQueueing SystemsQueueing TheoryTransport LayerBandwidthBandwidth AllocationCongestion AvoidanceCongestion Control ProtocolsInternet Congestion ControlLoadNetwork Congestion ModelingNetwork Traffic Modeling
The paper analyzes a performance model for TCP Congestion Avoidance. The authors develop a model that predicts TCP congestion‑avoidance bandwidth under light to moderate losses, assuming no retransmission timeouts and ample windows, and validate it via simulations of multiple implementations and live Internet measurements. The model accurately predicts congestion‑avoidance performance across most TCP implementations, aligns with live measurements, and yields insights into bandwidth allocation, gateway congestion, and high‑load Internet behavior.
In this paper, we analyze a performance model for the TCP Congestion Avoidance algorithm. The model predicts the bandwidth of a sustained TCP connection subjected to light to moderate packet losses, such as loss caused by network congestion. It assumes that TCP avoids retransmission timeouts and always has sufficient receiver window and sender data. The model predicts the Congestion Avoidance performance of nearly all TCP implementations under restricted conditions and of TCP with Selective Acknowledgements over a much wider range of Internet conditions.We verify the model through both simulation and live Internet measurements. The simulations test several TCP implementations under a range of loss conditions and in environments with both drop-tail and RED queuing. The model is also compared to live Internet measurements using the TReno diagnostic and real TCP implementations.We also present several applications of the model to problems of bandwidth allocation in the Internet. We use the model to analyze networks with multiple congested gateways; this analysis shows strong agreement with prior work in this area. Finally, we present several important implications about the behavior of the Internet in the presence of high load from diverse user communities.
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Congestion avoidance and control
Van Jacobson · ACM SIGCOMM Computer Communication Review · 1995 · 5.3K citations
Congestion avoidance and control
Van Jacobson · 1988 · 2.5K citations · Full text
Lawrence S. Brakmo, Sean O’Malley, Larry Peterson · ACM SIGCOMM Computer Communication Review · 1994 · 1.2K citations · Full text